基于奇异加权的麦克风阵波束形成语音增强算法  

A Microphone Array Beamforming Speech Enhancement Algorithm Based on SVD

作　　者：张丽艳[1] 普仕凡 陈少华[1] 曾洁[1] 郭宇明[1] 

机构地区：[1]大连交通大学电气信息学院 [2]大连市91550部队230所

出　　处：《大连交通大学学报》2008年第6期58-61,共4页Journal of Dalian Jiaotong University

基　　金：大连市科技计划资助项目(2005C11CG208)

摘　　要：提出了一种基于奇异值加权的麦克风阵列波束形成算法.该算法首先采用相位加权互功率时延估计法对麦克风阵列接收到的信号进行时延补偿.其次对处理后的矩阵采用雅克比算法进行奇异值分解构造权值并求和,得到增强的语音信号.仿真结果表明,与固定权值波束语音增强算法比较,该算法对加性非相干噪声有明显的消噪效果.A new microphone array of singular-value weighting beamforming （SWBF） algorithm for speech enhancement is proposed. First, the algorithm adopts the crosspower spectrum phase （CSP） algorithm to compensate time delay of the signal received by the microphone array. Sec- ond,to the processed matrix, the algorithm adopts Jacobi algorithm to carry out singular value decomposition （SVD）, and then use the singular value as the weighting value to get the weigh- ting sum,which is the output enhancement speech. The simulation shows that in the addictive incorrelative noise, the output signal to noise ratio （SNR） is improved greatly compared with fixed weighting value beamforming （FWBF） speech enhancement algorithm.

关 键 词：语音增强 麦克风阵列 波束形成 奇异值分解 

分 类 号：TN912.3[电子电信—通信与信息系统]